Learn how Google establishes AI governance based on its AI Principles and ethical decision-making practices, and what it recommends for governments and civil society to contribute to the AI governance discussion.
Table of Contents
Question
Which of the following is recommended by Google as most important in establishing AI governance?
A. Encouraging people to make decisions based on their own values
B. Building practices around ethical decision-making
C. Developing technical tools to evaluate ML models
D. Creating decision trees to address common ethical situations
Answer
B. Building practices around ethical decision-making
Explanation
According to Google, building practices around ethical decision-making is the most important aspect of establishing AI governance. Google states that its AI Principles serve as its ethical charter and inform its product policies.
Google also has a rigorous review process in place to ensure that all AI research and applications are developed responsibly, with input from experts in ethics, privacy, security, and other domains. Google believes that self- and co-regulatory approaches informed by current laws and perspectives from companies, academia, and technical bodies have been largely successful at curbing inopportune AI use, but also calls for governments and civil society groups to make a substantive contribution to the AI governance discussion.
Google identifies five areas where government, in collaboration with wider civil society and AI practitioners, has a crucial role to play in clarifying expectations about AI’s application on a context-specific basis: explainability standards, approaches to appraising fairness, safety considerations, requirements for human-AI collaboration, and general liability frameworks.
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